An analysis device includes an analysis unit configured to receive scattered light, transmitted light, fluorescence, or electromagnetic waves from an observed object located in a light irradiation region light-irradiated from a light source and analyze the observed object on the basis of a signal extracted on the basis of a time axis of an electrical signal output from a light-receiving unit configured to convert the received light or electromagnetic waves into the electrical signal.

A system for characterizing at least one particle from a fluid sample is disclosed. The system includes a filter disposed upstream of an outlet, and a luminaire configured to illuminate the at least one particle at an oblique angle. An imaging device is configured to capture and process images of the illuminated at least one particle as it rests on the filter for characterizing the at least one particle. A system for characterizing at least one particle using bright field illumination is also disclosed. A method for characterizing particulates in a fluid sample using at least one of oblique angle and bright field illumination is also disclosed.

Described herein are reagents and methods for improving signal in imaging mass cytometry. Aspects include mass tags with a large number of labeling atoms, chemical modifications to mass tags and additional reagents to reduce background and/or maintain target binding of mass tagged specific binding partners (SBPs), and schemes for associating a plurality of mass tags with a single SBP. As such, embodiments include any combination of one or more reagents and their use. The reagents, kits and methods herein may be used for mass cytometry, including imaging mass cytometry. In some aspects, reagents, kits or methods may be used for delivery of a large number of radioisotopes to a target analyte, for example for therapeutic use or radiometric detection. In certain aspects, only non-radioactive isotopes may be used for mass cytometry.

The present disclosure relates to quality control for point-of-care medical diagnostic systems. In various embodiments, the system includes an on-board storage containing a synthetic quality control material, a plurality of sub-systems having a plurality of operating parameters and including a material analyzer, a database storing quality control results that include results of the material analyzer analyzing the synthetic quality control material over time, one or more processors, and at least one memory storing instructions which, when executed by the one or more processors, cause the system to, automatically without user intervention: generate a control chart based on the quality control results, determine that a parameter of the plurality of operating parameters is out-of-tolerance based on the control chart, and adjust at least one of the plurality of sub-systems without user intervention to bring the out-of-tolerance parameter to within tolerance.

A sensor network, which includes a sensor controller serially coupled to a plurality of sensor modules, is configured to program the sensor modules so as to transfer measurement data to the sensor controller and to synchronize the sensor modules to picosecond accuracy via on-chip or on-module custom circuits and a physical layer protocol. The sensor network has applications for use in PET, LiDAR or FLIM applications. Synchronization, within picosecond accuracy, is achieved through use of a picosecond time digitization circuit. Specifically, the picosecond time digitization circuit is used to measure on-chip delays with high accuracy and precision. The delay measurements are directly comparable between separate chips even with voltage and temperature variations between chips.

A single-particle localization microscope, including an optical system configured to illuminate a sample region with a sequence of light patterns having spatially different distributions of illumination light adapted to cause a single particle located in the sample region to emit detection light, a detector configured to detect a sequence of intensities of the detection light emerging from the sample region in response to the sequence of illuminating light patterns, and a processor configured to determine, based on the sequence of intensities of the detection light, an arrangement of potential positions for locating the particle. The processor further illuminates the sample region with at least one subsequent light pattern, causes detection of at least one subsequent intensity, and decides, based on the at least one subsequent intensity of the detection light, which one of the multiple potential positions represents an actual position of the particle in the sample region.

The present disclosure provides apparatuses, systems, and methods for performing particle analysis through flow cytometry at comparatively high event rates and for gathering high resolution images of particles.

The invention relates to a method for detecting a particle in a container filled with liquid, the method having the following steps: dispensing a liquid sample into the container, scanning a partial volume area of the container in order to detect a particle located in the liquid sample, characterized in that an upper limit and a lower limit of the partial volume area is determined in a calibration operation upstream of the dispensing process.

Disclosed is a disease differentiation support method for supporting disease differentiation, the disease differentiation support method including: obtaining a first parameter obtained by analyzing an image including a cell contained in a sample collected from a subject; obtaining a second parameter regarding a number of cells contained in the sample; and generating, by using a computer algorithm, differentiation support information for supporting disease differentiation, on the basis of the first parameter and the second parameter.

A counting method includes aggregating particles in a sample by action of first-direction dielectrophoretic force, dispersing the aggregated particles by action of second-direction dielectrophoretic force, which is different from the first-direction dielectrophoretic force, capturing a dispersion image including the dispersed particles, and determining the number of particles on the basis of the dispersion image.